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Senior Data Scientist

Jobheron
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

A boutique data science consultancy, specialising in providing expertise in technology-driven business transformation, is now looking for a Senior Data Scientist to join their team based in London.The company is expanding their team and are looking for a senior data scientist who is driven, passionate and able to develop innovative and effective approaches to solve their clients most critical business and analytics challenges. The ideal candidate will possess a background in computer science, natural sciences, mathematics or similar. They are looking for individuals that thrive in cross-functional teams and are eager to share their knowledge and learn from others.The company engages with their clients to serve as a catalyst pushing their abilities to apply Data Science and Data Engineering in production settings. As such, they offer a varied working environment with exciting and challenging projects that ensure continuous opportunities to develop and progress.Most of their work is onsite with one of their clients in London or Southeast England, with travel to other parts of the UK as necessary. The company will cover any travel and accommodation costs.With the current situation involving Covid-19, this role may start as remote before moving on to client sites.About the CompanyThe company is a boutique data science consultancy specialising in providing expertise in technology-driven business transformation and advanced analytics R&D to solve their clients most complex business problems, principally in the life sciences, retail/consumer, public sector and financial industries.They pride themselves on the quality of technical and science talent they have. They value their developers as people as well as employees. They also offer a very attractive benefits package including 24 days annual leave, private health care, dental treatment, discounted gym membership & private pension.The company is an equal opportunities employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Key Responsibilities:Statistics and Machine Learning:

  • Conduct exploratory analytics by designing experiments and testing hypotheses on data
  • Write scripts for feature engineering and creation of data assets
  • Develop supervised and unsupervised machine learning models on diverse datasets across structured and unstructured data
  • Design and build models using algorithms appropriate to data volume, type, quality and velocity
  • Perform model validation and hyper-parameter optimisation
    • Project Management:Project ownership - responsible for key aspects of projects, including identifying business needs and determining tools, data and techniques to address itRapid prototyping and agile development techniquesCommunications:
  • Creation of engaging visualisations to communicate key findings to both technical and business-focused clients
  • Presenting and depicting the rationale of findings in simple, engaging and easy to understand business terms to a diverse group of stakeholders
  • Communicating with, coordinating and supporting, business experts
  • Mentoring junior data scientists via the creation of personal development plans, encouraging team-wide diffusion of knowledge and being a source of analytical best practice
    • Key Requirements:Technical Skills - Essential:
  • Machine learning algorithms, predictive analytics and statistical techniques (e.g. H20.ai, Tensorflow, Torch, Keras, Caffe, Mahout, Theano, Xgboost, Adaboost libraries)
  • High-level programming language(s) (preferably Python, Scala, Java, C, C++)
  • Statistics and quantitative analytics, forecasting, multivariate testing, and optimization algorithms (e.g. R, Python numerical stack - Pandas, Scipy, Numpy, Jupyter, Numba, Dask, Seaborn, Bokeh, Matplotlib)
  • Understanding of dimensionality reduction and ensemble learning techniques.
  • SQL, NoSQL and MPP databases (Maria, MySQL, Teradata, HBase, MongoDB, Neo4j, Dynamo, Couchbase)
  • Experience with reporting and visualisation technologies
  • Experience bringing Data Science solutions to production
  • Experience working in cloud (preferably AWS)
  • Good working understanding of systems, SCM and virtualisation (Docker, Git, Linux/bash)
    • Technical Skills - Desirable:
  • Background in Computer Science or experience in Software Engineering
  • Domain-specific knowledge in natural language processing, computer vision, image recognition, speech recognition, anomaly detection or time-series data (e.g. OpenCV, CMU Sphinx, gensim, spaCy, SpeechRecognition libraries)
  • CI/CD and the DevOps toolchain (e.g. Kubernetes, Jenkins, Ansible, Puppet, Maven, Gradle, Vagrant)
  • Front end and API development (e.g. Flask, Django, Tkinter, Swing, AWT)
  • Search tools (e.g. Lucene/Elasticsearch)
    • Project & Leadership Skills:
  • Agile project/product development
  • Project ownership and task prioritisation
  • Understanding business needs
  • Developing, applying and business cases for a wide variety of stakeholders
  • Presenting technical topics and business cases to stakeholders and co-workers
  • Team leadership
    • Sounds interesting Click APPLY to send your CV for immediate consideration.Candidates with previous experience or job titles including; Data Scientist, Research Data Scientist, Statistics, Automated Machine Learning, Data Scientist Researcher, Python may also be considered for this role.IND123

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